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Abstract #1408

Fully-Automated Single-Image T2 White Matter Hyperintensity Mapping and Quantification with FSL

Nathan C Wetter 1,2 , Elizabeth A Hubbard 3 , Robert W Motl 3 , and Bradley P Sutton 1,2

1 Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2 Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL, United States, 3 Kinesiology and Community Health, University of Illinois at Urbana-Champaign, IL, United States

T2 white matter hyperintensities are a defining clinical feature of Multiple Sclerosis (MS), and T2 Lesion Volumes (T2LV) have been an important biomarker in MS research. Numerous methods have been proposed for T2LV quantification, but they usually require human intervention and multiple images, and are not easily accessible. We propose, to the best of our knowledge, the first fully-automated, single-image T2LV quantification method. It is based upon the widely popular open-source imaging toolkit FSL, combining its components in an intuitive way to produce reliable, consistent lesion volumes and masks.

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